1st Edition

Modern and Interdisciplinary Problems in Network Science A Translational Research Perspective

    300 Pages
    by CRC Press

    300 Pages 98 B/W Illustrations
    by CRC Press

    Modern and Interdisciplinary Problems in Network Science: A Translational Research Perspective covers a broad range of concepts and methods, with a strong emphasis on interdisciplinarity. The topics range from analyzing mathematical properties of network-based methods to applying them to application areas. By covering this broad range of topics, the book aims to fill a gap in the contemporary literature in disciplines such as physics, applied mathematics and information sciences.

    Chapter 1: The Spread of Strategies Predicted by Artificial Intelligence in Networks

    Chunyan Zhang, Nankai University, China

    Chapter 2: The Spread of Multiple Strategies in the Complex Networks

    Jenlei Zhang, Nankai University, China

    Chapter 3: The epidemic spreading processes in complex networks, Chengyi Xia, Tianjin University of Technology, China

    Chapter 4: Measurements for Investigating complex networks

    Z. Chen; Y. Shi; M. Dehmer; Nankai University, China, Austria

    Chapter 5: Overview of Social Media Content and Network Analysis Mohammed Ali Al-Garadi , University of Malaya, Kuala Lumpur, Malaysia

    Chapter 6: Analysis of Critical Infrastructure Network

    David Rehak, University of Ostrava, CZ

    Chapter 7: Evolving Networks and their Vulnerabilities,

    Abbe Mowshowitz, New York City College, USA

    Chapter 8: Review of structures and dynamics of economic complex networks: Large scale payment network of Estonia

    Stephanie Rendón de la Torre, Tallinn University of Technology, Estonia

    Chapter 9: Predicting Macroeconomic Variables using Financial Networks Properties

    Petre Caraiani, Institute for Economic Forecasting, Romanian Academy, Romania

    Chapter 10: Anomaly Detection in Complex Networks

    Yaser Yasami, Department of Computer Engineering, Payame Noor University (PNU), Tehran, Iran

    Chapter 11: Finding Justice through Network Analysis

    Radboud Winkels, PPLE College Amsterdam, Holland,


    Zengqiang Chen works at the Department of Automation at Nankai University, where he is currently a professor. His research interests are in complex networks, multi-agent systems, computer application systems, nonlinear dynamic control, intelligent computing and stochastic analysis.

    Matthias Dehmer is a professor at University of Applied Sciences Upper Austria and UMIT - The Health and Life Sciences University. He also holds a guest professorship at Nankai University. His research interests are in graph theory, complex networks, complexity, machine big data, analytics, and information theory. In particular, he is also working on machine learning-based methods to design new data analysis methods for solving problems in manufacturing and production.

    Frank Emmert-Streib is a professor at Tampere University Technology, Finland, in the Department of Signal Processing. His research interests are in the field of computational biology, data science and analytics in the development and application of methods from statistics and machine learning for the analysis of big data from genomics, finance and business.

    Yongtang Shi is a professor at the Center for Combinatorics of Nankai University. His research interests are in graph theory and its applications, especially the applications of graph theory in mathematical chemistry, computer science and information theory.